Hussein Uraiby

584 total citations · 1 hit paper
7 papers, 283 citations indexed

About

Hussein Uraiby is a scholar working on Public Health, Environmental and Occupational Health, Family Practice and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Hussein Uraiby has authored 7 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Public Health, Environmental and Occupational Health, 3 papers in Family Practice and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Hussein Uraiby's work include Innovations in Medical Education (5 papers), Clinical Reasoning and Diagnostic Skills (3 papers) and Higher Education Practises and Engagement (1 paper). Hussein Uraiby is often cited by papers focused on Innovations in Medical Education (5 papers), Clinical Reasoning and Diagnostic Skills (3 papers) and Higher Education Practises and Engagement (1 paper). Hussein Uraiby collaborates with scholars based in United Kingdom, United States and Taiwan. Hussein Uraiby's co-authors include Ciaran Grafton‐Clarke, Morris Gordon, Michelle Daniel, Mary R. Haas, Satid Thammasitboon, Janet Corral, Nicole Y. Xu, Aderonke Ajiboye, Maxwell Spadafore and Diana Dolmans and has published in prestigious journals such as Nature Communications, Journal of Clinical Pathology and Medical Teacher.

In The Last Decade

Hussein Uraiby

7 papers receiving 280 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A scoping review of artificial intelligence in medical education: BEME Guide No. 84

2024 142 citations Morris Gordon, Michelle Daniel et al. Medical Teacher profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Hussein Uraiby United Kingdom	5	113	107	61	48	37	7	283
Yavuz Selim Kıyak Türkiye	9	172 1.5×	109 1.0×	57 0.9×	92 1.9×	20 0.5×	49	310
Teresa Festl‐Wietek Germany	8	189 1.7×	75 0.7×	71 1.2×	65 1.4×	20 0.5×	26	332
Seyyedeh Fatemeh Mousavi Baigi Iran	11	122 1.1×	80 0.7×	74 1.2×	13 0.3×	16 0.4×	35	371
Avraham Z. Cooper United States	7	50 0.4×	92 0.9×	37 0.6×	22 0.5×	18 0.5×	21	252
Jesse Burk‐Rafel United States	16	93 0.8×	344 3.2×	125 2.0×	118 2.5×	33 0.9×	39	601
Robert Kaczmarczyk Germany	7	179 1.6×	59 0.6×	80 1.3×	21 0.4×	29 0.8×	21	370
Poonam Hosamani United States	7	182 1.6×	70 0.7×	89 1.5×	42 0.9×	13 0.4×	9	434
Priya S. Garg United States	6	136 1.2×	72 0.7×	76 1.2×	28 0.6×	70 1.9×	14	307
Brian C. Gin United States	7	202 1.8×	83 0.8×	82 1.3×	62 1.3×	29 0.8×	12	321
Madiha Sajjad Pakistan	7	362 3.2×	82 0.8×	188 3.1×	52 1.1×	21 0.6×	14	531

Countries citing papers authored by Hussein Uraiby

Since Specialization

Citations

This map shows the geographic impact of Hussein Uraiby's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Hussein Uraiby with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hussein Uraiby more than expected).

Fields of papers citing papers by Hussein Uraiby

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hussein Uraiby. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Hussein Uraiby. The network helps show where Hussein Uraiby may publish in the future.

Co-authorship network of co-authors of Hussein Uraiby

This figure shows the co-authorship network connecting the top 25 collaborators of Hussein Uraiby. A scholar is included among the top collaborators of Hussein Uraiby based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hussein Uraiby. Hussein Uraiby is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Powley, Ian, Cathy Richards, Hussein Uraiby, et al.. (2025). A histomorphological atlas of resected mesothelioma discovered by self-supervised learning from 3446 whole-slide images. Nature Communications. 16(1). 8891–8891. 1 indexed citations

2.

Gordon, Morris, Michelle Daniel, Aderonke Ajiboye, et al.. (2024). A scoping review of artificial intelligence in medical education: BEME Guide No. 84. Medical Teacher. 46(4). 446–470. 142 indexed citations breakdown →

3.

Grafton‐Clarke, Ciaran, et al.. (2022). Live streaming to sustain clinical learning. The Clinical Teacher. 19(4). 282–288. 4 indexed citations

4.

Uraiby, Hussein, et al.. (2021). Fostering intrinsic motivation in remote undergraduate histopathology education. Journal of Clinical Pathology. 75(12). 837–843. 11 indexed citations

5.

Grafton‐Clarke, Ciaran, Hussein Uraiby, Morris Gordon, et al.. (2021). Pivot to online learning for adapting or continuing workplace-based clinical learning in medical education following the COVID-19 pandemic: A BEME systematic review: BEME Guide No. 70. Medical Teacher. 44(3). 227–243. 41 indexed citations

6.

Stojan, Jennifer, Mary R. Haas, Satid Thammasitboon, et al.. (2021). Online learning developments in undergraduate medical education in response to the COVID-19 pandemic: A BEME systematic review: BEME Guide No. 69. Medical Teacher. 44(2). 109–129. 72 indexed citations

7.

Saldanha, Gerald, et al.. (2019). Development and Initial Validation of Calculated Tumor Area as a Prognostic Tool in Cutaneous Malignant Melanoma. JAMA Dermatology. 155(8). 890–890. 12 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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